AI

Rebecca likes to frame this as“ human in the lead”. She continues:“ The goal is to have humans amplify what AI puts out. For most, AI is seen as a technology initiative, but it’ s really about people.”

Showcasing that cultural alignment matters more than algorithms, for Rebecca and Rajh, the cultural imperative remains central to the ethical deployment of AI.“ We’ re never going to know everything – we have to be curious learners,” Rebecca says. Rajh echoes this, advocating for digital acumen paired with emotional intelligence in leadership. This is reflected directly at BMS, where leaders are trained to interpret AI data while keeping human judgment central:“ The goal is not to replace leadership but to augment it.”

AI’ s role in amplifying humans Anuj forecasts that AI’ s future in enterprise is like that of an unstoppable force, powered by agentic AI and LLMs. He says:“ I don’ t think we can deny the power that it’ s going to have across the board in every facet of what we do in our business, as well as in other businesses. It’ s going to continue to evolve and provide a lot of power for organisations. This does not mean, however, that there is an endpoint to this journey, as Anuj cautions that“ we’ re not there yet … I don’ t think anyone will ever get there.

“ Pulling out that crystal ball, I think the way agentic AI and LLMs are going, I’ d say it’ s going to be a low-risk answer in these situations,” he concludes.“ It’ s evolution and seeing the advent of it over the past year – I don’ t think we can deny the power that it’ s going to have.”

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